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  "metadata": {
    "colab": {
      "name": "Logica example: Covid Analysis.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNF2ZGujePpq0zRlSCRusMK",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/EvgSkv/logica/blob/main/examples/Logica_example_Covid_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GCnPRlFUBAJ2"
      },
      "source": [
        "# Logica Example: Covid Analysis\n",
        "\n",
        "In this CoLab we use Logica to extract two dataframes related to Covid pandemic from public BigQuery datasets.\n",
        "\n",
        "1. To observe the spread of Covid over time we need timeseries for the countries in the top 10 by the absolte largest number of confirmed cases at the current moment. We want time series of active cases, confirmed cases, active cases per capita and confirmed cases per capita with granularity of 1 week.\n",
        "\n",
        "2. To observe relationship between Covid and other factors we want a dataframe that for each country has the number of Covid confirmed cases and deaths as well as gdp, past life expectancy and overweight prevalence.\n",
        "\n",
        "We are collecting this data from multiple tables "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X2n0bzloYehm"
      },
      "source": [
        "## Install and import Logica"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HkxMJeukBSOr",
        "outputId": "96a0f822-3c31-456e-c23f-a3f288c8ffff",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "!pip install logica"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting logica\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ec/93/c0401a9e48e0a63a99ab7482df637c9f196690ba4be5381bc39388ec0d49/logica-1.2-py3-none-any.whl (568kB)\n",
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            "\u001b[?25hInstalling collected packages: logica\n",
            "Successfully installed logica-1.2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ii6N6L0rBWW1"
      },
      "source": [
        "from logica import colab_logica\n",
        "from google.colab import auth\n",
        "auth.authenticate_user()\n",
        "colab_logica.SetProject('YOUR_PROJECT_ID')"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dCUuyim8YjHT"
      },
      "source": [
        "## Extracting time series"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HqwuR8jCBrPL",
        "outputId": "b8b98c46-ed3d-4581-bf99-be3388f00ca6",
        "colab": {
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        "%%logica Series, CasesOverTime, TopCountries\n",
        "\n",
        "\n",
        "#######################################################################\n",
        "# Assigning short names to required BigQuery public data tables.\n",
        "\n",
        "CovidData(..r) :- `bigquery-public-data.covid19_jhu_csse.summary`(..r);\n",
        "\n",
        "Population(\n",
        "    country:,\n",
        "    population:) :-\n",
        "  `bigquery-public-data.world_bank_global_population.population_by_country`(\n",
        "      country: country_raw,\n",
        "      year_2018: population\n",
        "  ),\n",
        "  country == (\n",
        "      if country_raw == \"United States\" then\n",
        "        \"US\"\n",
        "      else if country_raw == \"Iran, Islamic Rep.\" then\n",
        "        \"Iran\"\n",
        "      else if country_raw == \"Russian Federation\" then\n",
        "        \"Russia\"\n",
        "      else\n",
        "        country_raw\n",
        "  );\n",
        "\n",
        "##########################\n",
        "# Extracting the data.\n",
        "\n",
        "# A function to retrieve population for a country.\n",
        "# Returns null if the data is not there. We use it to avoid countries\n",
        "# disappearing from the final table if the name didn't match.\n",
        "PopulationOf(country) = population :-\n",
        "  population AnyValue= (p :- Population(country:, population: p));\n",
        "\n",
        "DayOfWeek(date) = SqlExpr(\"EXTRACT(DAYOFWEEK FROM {date})\", {date:});\n",
        "\n",
        "# Confirmed cases by country as of 4 days ago.\n",
        "@OrderBy(CountryCases, \"confirmed desc\");\n",
        "CountryCases(country: country_region,\n",
        "             confirmed? += confirmed,\n",
        "             population:) distinct :-\n",
        "  CovidData(country_region:, confirmed:, date:),\n",
        "  date == DateAddDay(CurrentDate(), -4),\n",
        "  population == PopulationOf(country_region);\n",
        "\n",
        "# Top 10 countries by the total number of confirmed cases.\n",
        "@Limit(TopCountries, 10);\n",
        "@OrderBy(TopCountries, \"col1 desc\");\n",
        "TopCountries(country, confirmed) :-\n",
        "  CountryCases(country:, confirmed:);\n",
        "\n",
        "# Table with confirmed and active cases over time.\n",
        "@OrderBy(CasesOverTime, \"date\");\n",
        "CasesOverTime(\n",
        "    country:,\n",
        "    date: date_str,\n",
        "    active_cases? += active,\n",
        "    confirmed_cases? += confirmed,\n",
        "    active_cases_per_capita? += active / PopulationOf(country),\n",
        "    confirmed_cases_per_capita? += confirmed / PopulationOf(country)\n",
        "    ) distinct :-\n",
        "  CovidData(country_region: country, active:, confirmed:, date:),\n",
        "  # Showing only Sundays to reduce number of points.\n",
        "  DayOfWeek(date) == 1,\n",
        "  date_str == FormatDate(\"%Y%m%d\", date),\n",
        "  TopCountries(country);\n",
        "\n",
        "# Reframing the CasesOverTime table into a table with series for simpler\n",
        "# plotting.\n",
        "@OrderBy(Series, \"series_name\", \"date\");\n",
        "Series(series_name:, country:, date:, value:) :-\n",
        "  CasesOverTime(country:,\n",
        "                date:,\n",
        "                active_cases:,\n",
        "                active_cases_per_capita:,\n",
        "                confirmed_cases:,\n",
        "                confirmed_cases_per_capita:),\n",
        "  (\n",
        "      (\n",
        "        series_name == \"Active Cases\",\n",
        "        value == active_cases           \n",
        "      ) |\n",
        "      (\n",
        "          series_name == \"Confirmed Cases\",\n",
        "          value == confirmed_cases\n",
        "      ) |\n",
        "      (\n",
        "          series_name == \"Active Cases Per Capita\",\n",
        "          value == active_cases_per_capita\n",
        "      ) |\n",
        "      (\n",
        "          series_name == \"Confirmed Cases Per Capita\",\n",
        "          value == confirmed_cases_per_capita\n",
        "      )\n",
        "  );\n",
        "\n"
      ],
      "execution_count": 3,
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              "<IPython.core.display.Javascript object>"
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              "outputarea_id1",
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2280ee4a-0b31-11eb-afee-0242ac1c0002\"] = window[\"id2\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_426dddbc6d"
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              "<IPython.core.display.Javascript object>"
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              "outputarea_id2",
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"22826950-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_e93c5e91ec"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
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              "outputarea_id1",
              "outputarea_id2",
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2282ba68-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id2_content_0\");\n",
              "//# sourceURL=js_dd3597acb5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
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              "outputarea_id1",
              "outputarea_id2",
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2283734a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2282ba68-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d0bd99e83e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"228413e0-0b31-11eb-afee-0242ac1c0002\"] = window[\"id2\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_6b1afaf6d3"
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              "<IPython.core.display.Javascript object>"
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          "output_type": "stream",
          "text": [
            "The following query is stored at \u001b[1mSeries_sql\u001b[0m variable.\n",
            "WITH t_5_CountryCases AS (SELECT\n",
            "  t_8_bigquerypublicdata_covid19_jhu_csse_summary.country_region AS country,\n",
            "  SUM(t_8_bigquerypublicdata_covid19_jhu_csse_summary.confirmed) AS confirmed,\n",
            "  (SELECT\n",
            "  ANY_VALUE(t_10_bigquerypublicdata_world_bank_global_population_population_by_country.year_2018) AS logica_value\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS t_10_bigquerypublicdata_world_bank_global_population_population_by_country\n",
            "WHERE\n",
            "  t_8_bigquerypublicdata_covid19_jhu_csse_summary.country_region = CASE WHEN t_10_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN t_10_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN t_10_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE t_10_bigquerypublicdata_world_bank_global_population_population_by_country.country END) AS population\n",
            "FROM\n",
            "  `bigquery-public-data.covid19_jhu_csse.summary` AS t_8_bigquerypublicdata_covid19_jhu_csse_summary\n",
            "WHERE\n",
            "  DATE_ADD(CURRENT_DATE(), INTERVAL -4 DAY) = t_8_bigquerypublicdata_covid19_jhu_csse_summary.date\n",
            "GROUP BY country, population ORDER BY confirmed desc),\n",
            "t_4_TopCountries AS (SELECT\n",
            "  CountryCases.country AS col0,\n",
            "  CountryCases.confirmed AS col1\n",
            "FROM\n",
            "  t_5_CountryCases AS CountryCases ORDER BY col1 desc LIMIT 10),\n",
            "t_0_CasesOverTime AS (SELECT\n",
            "  TopCountries.col0 AS country,\n",
            "  FORMAT_DATE(\"%Y%m%d\", bigquerypublicdata_covid19_jhu_csse_summary.date) AS date,\n",
            "  SUM(bigquerypublicdata_covid19_jhu_csse_summary.active) AS active_cases,\n",
            "  SUM(bigquerypublicdata_covid19_jhu_csse_summary.confirmed) AS confirmed_cases,\n",
            "  SUM(((bigquerypublicdata_covid19_jhu_csse_summary.active) / ((SELECT\n",
            "  ANY_VALUE(bigquerypublicdata_world_bank_global_population_population_by_country.year_2018) AS logica_value\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS bigquerypublicdata_world_bank_global_population_population_by_country\n",
            "WHERE\n",
            "  TopCountries.col0 = CASE WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE bigquerypublicdata_world_bank_global_population_population_by_country.country END)))) AS active_cases_per_capita,\n",
            "  SUM(((bigquerypublicdata_covid19_jhu_csse_summary.confirmed) / ((SELECT\n",
            "  ANY_VALUE(t_3_bigquerypublicdata_world_bank_global_population_population_by_country.year_2018) AS logica_value\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS t_3_bigquerypublicdata_world_bank_global_population_population_by_country\n",
            "WHERE\n",
            "  TopCountries.col0 = CASE WHEN t_3_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN t_3_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN t_3_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE t_3_bigquerypublicdata_world_bank_global_population_population_by_country.country END)))) AS confirmed_cases_per_capita\n",
            "FROM\n",
            "  `bigquery-public-data.covid19_jhu_csse.summary` AS bigquerypublicdata_covid19_jhu_csse_summary, t_4_TopCountries AS TopCountries\n",
            "WHERE\n",
            "  TopCountries.col0 = bigquerypublicdata_covid19_jhu_csse_summary.country_region AND\n",
            "  1 = EXTRACT(DAYOFWEEK FROM bigquerypublicdata_covid19_jhu_csse_summary.date)\n",
            "GROUP BY country, date ORDER BY date)\n",
            "SELECT * FROM (\n",
            "  \n",
            "    SELECT\n",
            "      \"Active Cases\" AS series_name,\n",
            "      CasesOverTime.country AS country,\n",
            "      CasesOverTime.date AS date,\n",
            "      CasesOverTime.active_cases AS value\n",
            "    FROM\n",
            "      t_0_CasesOverTime AS CasesOverTime\n",
            "   UNION ALL\n",
            "  \n",
            "    SELECT\n",
            "      \"Confirmed Cases\" AS series_name,\n",
            "      CasesOverTime.country AS country,\n",
            "      CasesOverTime.date AS date,\n",
            "      CasesOverTime.confirmed_cases AS value\n",
            "    FROM\n",
            "      t_0_CasesOverTime AS CasesOverTime\n",
            "   UNION ALL\n",
            "  \n",
            "    SELECT\n",
            "      \"Active Cases Per Capita\" AS series_name,\n",
            "      CasesOverTime.country AS country,\n",
            "      CasesOverTime.date AS date,\n",
            "      CasesOverTime.active_cases_per_capita AS value\n",
            "    FROM\n",
            "      t_0_CasesOverTime AS CasesOverTime\n",
            "   UNION ALL\n",
            "  \n",
            "    SELECT\n",
            "      \"Confirmed Cases Per Capita\" AS series_name,\n",
            "      CasesOverTime.country AS country,\n",
            "      CasesOverTime.date AS date,\n",
            "      CasesOverTime.confirmed_cases_per_capita AS value\n",
            "    FROM\n",
            "      t_0_CasesOverTime AS CasesOverTime\n",
            "  \n",
            ") AS UNUSED_TABLE_NAME  ORDER BY series_name, date ;\n"
          ],
          "name": "stdout"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"22852c12-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"22826950-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_020d312b5b"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "data": {
            "application/javascript": [
              "window[\"2286aa9c-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"227d6ba8-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4c06830469"
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              "<IPython.core.display.Javascript object>"
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          },
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"22882f70-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_341a65534d"
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              "<IPython.core.display.Javascript object>"
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            "tags": [
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        {
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          "data": {
            "application/javascript": [
              "window[\"2288953c-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id1_content_3\");\n",
              "//# sourceURL=js_ffb2d8b6d5"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2288e564-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2288953c-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_88ebe1dcba"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_3",
              "outputarea_id1"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"228935e6-0b31-11eb-afee-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(3);\n",
              "//# sourceURL=js_795a8c37ae"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
            "tags": [
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25552910-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"22882f70-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_b68828ef00"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2557b414-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_95b62a6233"
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              "<IPython.core.display.Javascript object>"
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          "metadata": {
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        {
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            "application/javascript": [
              "window[\"2557fb68-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id1_content_0\");\n",
              "//# sourceURL=js_e5c03ada18"
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              "<IPython.core.display.Javascript object>"
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          "metadata": {
            "tags": [
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            "application/javascript": [
              "window[\"25585568-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2557fb68-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_29c7c4afe1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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        {
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            "application/javascript": [
              "window[\"2558a7ac-0b31-11eb-afee-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_5e1e7d2dbd"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
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              "outputarea_id1"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2559d302-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_d4418e3718"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
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              "id2_content_1",
              "outputarea_id1",
              "outputarea_id2",
              "user_output"
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          }
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"255a2384-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id2_content_1\");\n",
              "//# sourceURL=js_8732b1296b"
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              "<IPython.core.display.Javascript object>"
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          "metadata": {
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              "outputarea_id1",
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              "user_output"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"255a715e-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"255a2384-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_19d417bc3f"
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              "<IPython.core.display.Javascript object>"
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        {
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          "data": {
            "application/javascript": [
              "window[\"255aba2e-0b31-11eb-afee-0242ac1c0002\"] = window[\"id2\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_78c4f670f3"
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          "output_type": "stream",
          "text": [
            "The following table is stored at \u001b[1mSeries\u001b[0m variable.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>series_name</th>\n",
              "      <th>country</th>\n",
              "      <th>date</th>\n",
              "      <th>value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Active Cases</td>\n",
              "      <td>US</td>\n",
              "      <td>20200126</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Active Cases</td>\n",
              "      <td>US</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Active Cases</td>\n",
              "      <td>India</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Active Cases</td>\n",
              "      <td>Spain</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Active Cases</td>\n",
              "      <td>Russia</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1327</th>\n",
              "      <td>Confirmed Cases Per Capita</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>20201004</td>\n",
              "      <td>0.006036</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1328</th>\n",
              "      <td>Confirmed Cases Per Capita</td>\n",
              "      <td>Russia</td>\n",
              "      <td>20201004</td>\n",
              "      <td>0.008368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1329</th>\n",
              "      <td>Confirmed Cases Per Capita</td>\n",
              "      <td>Colombia</td>\n",
              "      <td>20201004</td>\n",
              "      <td>0.017222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1330</th>\n",
              "      <td>Confirmed Cases Per Capita</td>\n",
              "      <td>Argentina</td>\n",
              "      <td>20201004</td>\n",
              "      <td>0.017946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1331</th>\n",
              "      <td>Confirmed Cases Per Capita</td>\n",
              "      <td>South Africa</td>\n",
              "      <td>20201004</td>\n",
              "      <td>0.011791</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1332 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                     series_name       country      date     value\n",
              "0                   Active Cases            US  20200126       NaN\n",
              "1                   Active Cases            US  20200202       NaN\n",
              "2                   Active Cases         India  20200202       NaN\n",
              "3                   Active Cases         Spain  20200202       NaN\n",
              "4                   Active Cases        Russia  20200202       NaN\n",
              "...                          ...           ...       ...       ...\n",
              "1327  Confirmed Cases Per Capita        Mexico  20201004  0.006036\n",
              "1328  Confirmed Cases Per Capita        Russia  20201004  0.008368\n",
              "1329  Confirmed Cases Per Capita      Colombia  20201004  0.017222\n",
              "1330  Confirmed Cases Per Capita     Argentina  20201004  0.017946\n",
              "1331  Confirmed Cases Per Capita  South Africa  20201004  0.011791\n",
              "\n",
              "[1332 rows x 4 columns]"
            ]
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              "user_output"
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          "output_type": "display_data",
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            "application/javascript": [
              "window[\"25609e26-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2559d302-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d58ba79266"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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              "id2_content_1",
              "outputarea_id1",
              "outputarea_id2",
              "user_output"
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        {
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          "data": {
            "application/javascript": [
              "window[\"25622e08-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2557b414-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d3644c8e6c"
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              "<IPython.core.display.Javascript object>"
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            "tags": [
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              "outputarea_id1"
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        },
        {
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          "data": {
            "application/javascript": [
              "window[\"2563a742-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_b60d2f0b2c"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
            "tags": [
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2563f53a-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id1_content_3\");\n",
              "//# sourceURL=js_335ca4af7a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
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              "outputarea_id1"
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25644698-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2563f53a-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_18f9a50a07"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
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          "metadata": {
            "tags": [
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              "outputarea_id1"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25648ea0-0b31-11eb-afee-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(3);\n",
              "//# sourceURL=js_e0e9d8ac4e"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
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              "outputarea_id1"
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          "output_type": "stream",
          "text": [
            "Running CasesOverTime\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"256fff06-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2563a742-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_aef55b157e"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
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              "outputarea_id1"
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"257195aa-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_12d6b40ad7"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1"
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25720440-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id1_content_1\");\n",
              "//# sourceURL=js_4ff3dd6da9"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25728168-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"25720440-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d10f8d0bd1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2572c038-0b31-11eb-afee-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_37a555ced4"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1"
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        },
        {
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          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
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            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id3\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"257410b4-0b31-11eb-afee-0242ac1c0002\"] = colab_lib.createTabBar({\"location\": \"top\", \"elementId\": \"id3\", \"tabNames\": [\"SQL\", \"Result\"], \"initialSelection\": 0, \"contentBorder\": [\"0px\"], \"contentHeight\": [\"initial\"], \"borderColor\": [\"#a7a7a7\"]});\n",
              "//# sourceURL=js_84e80eba00"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25744c32-0b31-11eb-afee-0242ac1c0002\"] = window[\"id3\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_1497231c20"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25753e3a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_59e87dbfc3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "id3_content_0",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"25757a58-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id3_content_0\");\n",
              "//# sourceURL=js_a5d09a479d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "id3_content_0",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2575b4fa-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"25757a58-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_c23bf2b7dc"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id1_content_1",
              "id3_content_0",
              "outputarea_id1",
              "outputarea_id3",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2575ef10-0b31-11eb-afee-0242ac1c0002\"] = window[\"id3\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_610ca606e5"
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              "<IPython.core.display.Javascript object>"
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              "outputarea_id1",
              "outputarea_id3",
              "user_output"
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          }
        },
        {
          "output_type": "stream",
          "text": [
            "The following query is stored at \u001b[1mCasesOverTime_sql\u001b[0m variable.\n",
            "WITH t_4_CountryCases AS (SELECT\n",
            "  t_7_bigquerypublicdata_covid19_jhu_csse_summary.country_region AS country,\n",
            "  SUM(t_7_bigquerypublicdata_covid19_jhu_csse_summary.confirmed) AS confirmed,\n",
            "  (SELECT\n",
            "  ANY_VALUE(t_9_bigquerypublicdata_world_bank_global_population_population_by_country.year_2018) AS logica_value\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS t_9_bigquerypublicdata_world_bank_global_population_population_by_country\n",
            "WHERE\n",
            "  t_7_bigquerypublicdata_covid19_jhu_csse_summary.country_region = CASE WHEN t_9_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN t_9_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN t_9_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE t_9_bigquerypublicdata_world_bank_global_population_population_by_country.country END) AS population\n",
            "FROM\n",
            "  `bigquery-public-data.covid19_jhu_csse.summary` AS t_7_bigquerypublicdata_covid19_jhu_csse_summary\n",
            "WHERE\n",
            "  DATE_ADD(CURRENT_DATE(), INTERVAL -4 DAY) = t_7_bigquerypublicdata_covid19_jhu_csse_summary.date\n",
            "GROUP BY country, population ORDER BY confirmed desc),\n",
            "t_3_TopCountries AS (SELECT\n",
            "  CountryCases.country AS col0,\n",
            "  CountryCases.confirmed AS col1\n",
            "FROM\n",
            "  t_4_CountryCases AS CountryCases ORDER BY col1 desc LIMIT 10)\n",
            "SELECT\n",
            "  TopCountries.col0 AS country,\n",
            "  FORMAT_DATE(\"%Y%m%d\", bigquerypublicdata_covid19_jhu_csse_summary.date) AS date,\n",
            "  SUM(bigquerypublicdata_covid19_jhu_csse_summary.active) AS active_cases,\n",
            "  SUM(bigquerypublicdata_covid19_jhu_csse_summary.confirmed) AS confirmed_cases,\n",
            "  SUM(((bigquerypublicdata_covid19_jhu_csse_summary.active) / ((SELECT\n",
            "  ANY_VALUE(bigquerypublicdata_world_bank_global_population_population_by_country.year_2018) AS logica_value\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS bigquerypublicdata_world_bank_global_population_population_by_country\n",
            "WHERE\n",
            "  TopCountries.col0 = CASE WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE bigquerypublicdata_world_bank_global_population_population_by_country.country END)))) AS active_cases_per_capita,\n",
            "  SUM(((bigquerypublicdata_covid19_jhu_csse_summary.confirmed) / ((SELECT\n",
            "  ANY_VALUE(t_2_bigquerypublicdata_world_bank_global_population_population_by_country.year_2018) AS logica_value\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS t_2_bigquerypublicdata_world_bank_global_population_population_by_country\n",
            "WHERE\n",
            "  TopCountries.col0 = CASE WHEN t_2_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN t_2_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN t_2_bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE t_2_bigquerypublicdata_world_bank_global_population_population_by_country.country END)))) AS confirmed_cases_per_capita\n",
            "FROM\n",
            "  `bigquery-public-data.covid19_jhu_csse.summary` AS bigquerypublicdata_covid19_jhu_csse_summary, t_3_TopCountries AS TopCountries\n",
            "WHERE\n",
            "  TopCountries.col0 = bigquerypublicdata_covid19_jhu_csse_summary.country_region AND\n",
            "  1 = EXTRACT(DAYOFWEEK FROM bigquerypublicdata_covid19_jhu_csse_summary.date)\n",
            "GROUP BY country, date ORDER BY date;\n"
          ],
          "name": "stdout"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2576c5fc-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"25753e3a-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_6ebe42cfeb"
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          }
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"257794fa-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"257195aa-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_9a1b38a6f3"
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          "data": {
            "application/javascript": [
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              "//# sourceURL=js_1569a5dd00"
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            "application/javascript": [
              "window[\"257a078a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2578d16c-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ac127f5a3c"
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            "text/plain": [
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        {
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              "//# sourceURL=js_d7ce8a95b8"
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        {
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            "application/javascript": [
              "window[\"289396fc-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"25789bf2-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_6c6468533f"
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          "metadata": {
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        {
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          "data": {
            "application/javascript": [
              "window[\"289586a6-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_55c6f03681"
            ],
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              "<IPython.core.display.Javascript object>"
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          "metadata": {
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        {
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          "data": {
            "application/javascript": [
              "window[\"28964370-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id1_content_1\");\n",
              "//# sourceURL=js_a8b4c8b692"
            ],
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              "<IPython.core.display.Javascript object>"
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          "metadata": {
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        },
        {
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          "data": {
            "application/javascript": [
              "window[\"2896c516-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"28964370-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8dde8215ea"
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              "<IPython.core.display.Javascript object>"
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          "metadata": {
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          "data": {
            "application/javascript": [
              "window[\"28978ac8-0b31-11eb-afee-0242ac1c0002\"] = window[\"id1\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_c777af14cd"
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        {
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              "window[\"28993d0a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_c002fe7d9b"
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          "metadata": {
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              "window[\"2899b9e2-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id3_content_1\");\n",
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          "text": [
            "The following table is stored at \u001b[1mCasesOverTime\u001b[0m variable.\n"
          ],
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        {
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            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>date</th>\n",
              "      <th>active_cases</th>\n",
              "      <th>confirmed_cases</th>\n",
              "      <th>active_cases_per_capita</th>\n",
              "      <th>confirmed_cases_per_capita</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>US</td>\n",
              "      <td>20200126</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.528269e-08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>US</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.445231e-08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>India</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.478615e-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Spain</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.140239e-08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Russia</td>\n",
              "      <td>20200202</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.384293e-08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>328</th>\n",
              "      <td>Mexico</td>\n",
              "      <td>20201004</td>\n",
              "      <td>37454.0</td>\n",
              "      <td>761665</td>\n",
              "      <td>0.000297</td>\n",
              "      <td>6.035821e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>329</th>\n",
              "      <td>Russia</td>\n",
              "      <td>20201004</td>\n",
              "      <td>212291.0</td>\n",
              "      <td>1209039</td>\n",
              "      <td>0.001469</td>\n",
              "      <td>8.368323e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>330</th>\n",
              "      <td>Colombia</td>\n",
              "      <td>20201004</td>\n",
              "      <td>66666.0</td>\n",
              "      <td>855052</td>\n",
              "      <td>0.001343</td>\n",
              "      <td>1.722205e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>331</th>\n",
              "      <td>Argentina</td>\n",
              "      <td>20201004</td>\n",
              "      <td>140796.0</td>\n",
              "      <td>798486</td>\n",
              "      <td>0.003164</td>\n",
              "      <td>1.794572e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>332</th>\n",
              "      <td>South Africa</td>\n",
              "      <td>20201004</td>\n",
              "      <td>49532.0</td>\n",
              "      <td>681289</td>\n",
              "      <td>0.000857</td>\n",
              "      <td>1.179116e-02</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>333 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          country  ... confirmed_cases_per_capita\n",
              "0              US  ...               1.528269e-08\n",
              "1              US  ...               2.445231e-08\n",
              "2           India  ...               1.478615e-09\n",
              "3           Spain  ...               2.140239e-08\n",
              "4          Russia  ...               1.384293e-08\n",
              "..            ...  ...                        ...\n",
              "328        Mexico  ...               6.035821e-03\n",
              "329        Russia  ...               8.368323e-03\n",
              "330      Colombia  ...               1.722205e-02\n",
              "331     Argentina  ...               1.794572e-02\n",
              "332  South Africa  ...               1.179116e-02\n",
              "\n",
              "[333 rows x 6 columns]"
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              "//# sourceURL=js_c30463d5dd"
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          "text": [
            "Running TopCountries\n"
          ],
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            "The following query is stored at \u001b[1mTopCountries_sql\u001b[0m variable.\n",
            "WITH t_0_CountryCases AS (SELECT\n",
            "  bigquerypublicdata_covid19_jhu_csse_summary.country_region AS country,\n",
            "  SUM(bigquerypublicdata_covid19_jhu_csse_summary.confirmed) AS confirmed,\n",
            "  (SELECT\n",
            "  ANY_VALUE(bigquerypublicdata_world_bank_global_population_population_by_country.year_2018) AS logica_value\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS bigquerypublicdata_world_bank_global_population_population_by_country\n",
            "WHERE\n",
            "  bigquerypublicdata_covid19_jhu_csse_summary.country_region = CASE WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE bigquerypublicdata_world_bank_global_population_population_by_country.country END) AS population\n",
            "FROM\n",
            "  `bigquery-public-data.covid19_jhu_csse.summary` AS bigquerypublicdata_covid19_jhu_csse_summary\n",
            "WHERE\n",
            "  DATE_ADD(CURRENT_DATE(), INTERVAL -4 DAY) = bigquerypublicdata_covid19_jhu_csse_summary.date\n",
            "GROUP BY country, population ORDER BY confirmed desc)\n",
            "SELECT\n",
            "  CountryCases.country AS col0,\n",
            "  CountryCases.confirmed AS col1\n",
            "FROM\n",
            "  t_0_CountryCases AS CountryCases ORDER BY col1 desc LIMIT 10;\n"
          ],
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              "//# sourceURL=js_5b5a263635"
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          "output_type": "display_data",
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            "application/javascript": [
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              "//# sourceURL=js_e4308faf95"
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          "output_type": "display_data",
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              "window[\"29fa409a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"28b2d9fe-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_287b130455"
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          "metadata": {
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              "window[\"29fda69a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_9eb0671965"
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              "outputarea_id1"
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              "window[\"29fe16de-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id1_content_2\");\n",
              "//# sourceURL=js_442efcf612"
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              "//# sourceURL=js_2683bde9b1"
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              "//# sourceURL=js_0fe655b296"
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              "//# sourceURL=js_8ca0dcee20"
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              "id1_content_2",
              "id4_content_1",
              "outputarea_id1",
              "outputarea_id4",
              "user_output"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a0140ca-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id4_content_1\");\n",
              "//# sourceURL=js_19aed7ae63"
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            "text/plain": [
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          "metadata": {
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              "id4_content_1",
              "outputarea_id1",
              "outputarea_id4",
              "user_output"
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          }
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a017aa4-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a0140ca-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_f4dea86492"
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            "application/javascript": [
              "window[\"2a01ceaa-0b31-11eb-afee-0242ac1c0002\"] = window[\"id4\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_0d4ddb95a2"
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              "<div>\n",
              "<style scoped>\n",
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              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "      <th>0</th>\n",
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              "      <td>7499341</td>\n",
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              "      <td>India</td>\n",
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              "      <td>1231277</td>\n",
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              "      <td>869808</td>\n",
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              "      <th>7</th>\n",
              "      <td>Argentina</td>\n",
              "      <td>824468</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Mexico</td>\n",
              "      <td>794608</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>South Africa</td>\n",
              "      <td>683242</td>\n",
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h.D=function(){S.i.D.call(this);Qc(this,function(b){b.m&&zd(this,b)},this);var a=this.f();bd(this.da,this);Ad(this,this.T);H(H(H(H(H(H(H(H(Oc(this),this,"enter",this.Wa),this,"highlight",this.Xa),this,"unhighlight",this.cb),this,"open",this.Ya),this,"close",this.Ua),a,F.L,this.Sa),qb(a),[F.M,F.aa],this.Va),a,[F.L,F.M,F.aa,"mouseover","mouseout","contextmenu"],this.Ta);Bd(this)};var Bd=function(a){var b=Oc(a),c=yd(a);H(H(H(b,c,"focus",a.Ha),c,"blur",a.Qa),a.ca||(a.ca=new J(yd(a))),"key",a.Ra)};h=S.prototype;
h.P=function(){Cd(this,-1);this.s&&sd(this.s,!1);this.V=!1;S.i.P.call(this)};h.u=function(){S.i.u.call(this);this.ca&&(this.ca.N(),this.ca=null);this.da=this.s=this.I=this.Da=null};h.Wa=function(){return!0};
h.Xa=function(a){var b=Tc(this,a.target);if(-1<b&&b!=this.l){var c=L(this,this.l);c&&P(c,!1);this.l=b;c=L(this,this.l);this.V&&qd(c,!0);this.s&&c!=this.s&&(c.v&64?sd(c,!0):sd(this.s,!1))}b=this.f();q(b,"The DOM element for the container cannot be null.");null!=a.target.f()&&xb(b,"activedescendant",a.target.f().id)};h.cb=function(a){a.target==L(this,this.l)&&(this.l=-1);a=this.f();q(a,"The DOM element for the container cannot be null.");a.removeAttribute(wb("activedescendant"))};
h.Ya=function(a){(a=a.target)&&a!=this.s&&a.b==this&&(this.s&&sd(this.s,!1),this.s=a)};h.Ua=function(a){a.target==this.s&&(this.s=null);var b=this.f(),c=a.target.f();b&&a.target.o&2&&c&&(a="",c&&(a=c.id,q(a,"The active element should have an id.")),xb(b,"activedescendant",a))};h.Sa=function(a){this.O&&(this.V=!0);var b=yd(this);b&&sb(b)&&tb(b)?b.focus():a.g()};h.Va=function(){this.V=!1};
h.Ta=function(a){a:{var b=a.target;if(this.I)for(var c=this.f();b&&b!==c;){var d=b.id;if(d in this.I){b=this.I[d];break a}b=b.parentNode}b=null}if(b)switch(a.type){case F.L:b.ka(a);break;case F.M:case F.aa:b.la(a);break;case "mouseover":b.Aa(a);break;case "mouseout":b.za(a);break;case "contextmenu":b.ea(a)}};h.Ha=function(){};h.Qa=function(){Cd(this,-1);this.V=!1;this.s&&sd(this.s,!1)};
h.Ra=function(a){return this.isEnabled()&&this.isVisible()&&(0!=Rc(this)||this.Da)&&Dd(this,a)?(a.g(),a.j(),!0):!1};
var Dd=function(a,b){var c=L(a,a.l);if(c&&"function"==typeof c.fa&&c.fa(b)||a.s&&a.s!=c&&"function"==typeof a.s.fa&&a.s.fa(b))return!0;if(b.shiftKey||b.ctrlKey||b.metaKey||b.altKey)return!1;switch(b.c){case 27:yd(a).blur();break;case 36:Ed(a);break;case 35:Fd(a);break;case 38:if("vertical"==a.H)Gd(a);else return!1;break;case 37:if("horizontal"==a.H)Sc(a)?Hd(a):Gd(a);else return!1;break;case 40:if("vertical"==a.H)Hd(a);else return!1;break;case 39:if("horizontal"==a.H)Sc(a)?Gd(a):Hd(a);else return!1;
break;default:return!1}return!0},zd=function(a,b){var c=b.f();c=c.id||(c.id=Lc(b));a.I||(a.I={});a.I[c]=b};S.prototype.sa=function(a,b){Ca(a,N,"The child of a container must be a control");S.i.sa.call(this,a,b)};S.prototype.ta=function(a,b,c){Ca(a,N);a.K|=2;a.K|=64;td(a,32,!1);a.m&&0!=a.ya&&od(a,!1);a.ya=!1;var d=a.b==this?Tc(this,a):-1;S.i.ta.call(this,a,b,c);a.m&&this.m&&zd(this,a);a=d;-1==a&&(a=Rc(this));a==this.l?this.l=Math.min(Rc(this)-1,b):a>this.l&&b<=this.l?this.l++:a<this.l&&b>this.l&&this.l--};
var ad=function(a,b){if(a.f())throw Error("Component already rendered");a.H=b};S.prototype.isVisible=function(){return this.T};var Ad=function(a,b){a.T=b;var c=a.f();c&&(c.style.display=b?"":"none",Yc(yd(a),a.O&&a.T))};S.prototype.isEnabled=function(){return this.O};S.prototype.Z=function(a){this.O!=a&&uc(this,a?"enable":"disable")&&(a?(this.O=!0,Qc(this,function(b){b.La?delete b.La:b.Z(!0)})):(Qc(this,function(b){b.isEnabled()?b.Z(!1):b.La=!0}),this.V=this.O=!1),Yc(yd(this),a&&this.T))};
var Cd=function(a,b){(b=L(a,b))?P(b,!0):-1<a.l&&P(L(a,a.l),!1)},Ed=function(a){Id(a,function(b,c){return(b+1)%c},Rc(a)-1)},Fd=function(a){Id(a,function(b,c){b--;return 0>b?c-1:b},0)},Hd=function(a){Id(a,function(b,c){return(b+1)%c},a.l)},Gd=function(a){Id(a,function(b,c){b--;return 0>b?c-1:b},a.l)},Id=function(a,b,c){c=0>c?Tc(a,a.s):c;var d=Rc(a);c=b.call(a,c,d);for(var e=0;e<=d;){var f=L(a,c),g;if(g=f)g=f.isVisible()&&f.isEnabled()&&!!(f.v&2);if(g){a.Ea(c);break}e++;c=b.call(a,c,d)}};
S.prototype.Ea=function(a){Cd(this,a)};var T=function(){};n(T,M);da(T);T.prototype.a=function(){return"goog-tab"};T.prototype.h=function(){return"tab"};T.prototype.c=function(a){var b=T.i.c.call(this,a);(a=a.Pa)&&b&&(b.title=a||"");return b};T.prototype.g=function(a,b){b=T.i.g.call(this,a,b);var c=b.title||"";c&&(a.Pa=c);a.o&8&&(c=a.b)&&ia(c.G)&&(Q(a,8,!1),c.G(a));return b};var Jd=function(a,b,c){N.call(this,a,b||T.R(),c);td(this,8,!0);this.K|=9};n(Jd,N);Vc("goog-tab",function(){return new Jd(null)});var U=function(){this.h="tablist"};n(U,Xc);da(U);U.prototype.b=function(){return"goog-tab-bar"};U.prototype.g=function(a,b,c){this.j||(this.a||Kd(this),this.j=sa(this.a));var d=this.j[b];d?(ad(a,Ld(d)),a.B=d):U.i.g.call(this,a,b,c)};U.prototype.c=function(a){var b=U.i.c.call(this,a);this.a||Kd(this);b.push(this.a[a.B]);return b};var Kd=function(a){var b=a.b();a.a={top:b+"-top",bottom:b+"-bottom",start:b+"-start",end:b+"-end"}};var V=function(a,b,c){a=a||"top";ad(this,Ld(a));this.B=a;S.call(this,this.H,b||U.R(),c);Md(this)};n(V,S);h=V.prototype;h.C=null;h.D=function(){V.i.D.call(this);Md(this)};h.u=function(){V.i.u.call(this);this.C=null};h.Ea=function(a){V.i.Ea.call(this,a);this.G(L(this,a))};h.G=function(a){a?rd(a,!0):this.C&&rd(this.C,!1)};
var Nd=function(a,b){if(b&&b==a.C){for(var c=Tc(a,b),d=c-1;b=L(a,d);d--){var e=b;if(e.isVisible()&&e.isEnabled()){a.G(b);return}}for(c+=1;b=L(a,c);c++)if(d=b,d.isVisible()&&d.isEnabled()){a.G(b);return}a.G(null)}};h=V.prototype;h.ab=function(a){this.C&&this.C!=a.target&&rd(this.C,!1);this.C=a.target};h.bb=function(a){a.target==this.C&&(this.C=null)};h.Za=function(a){Nd(this,a.target)};h.$a=function(a){Nd(this,a.target)};h.Ha=function(){L(this,this.l)||Cd(this,Tc(this,this.C||L(this,0)))};
var Md=function(a){H(H(H(H(Oc(a),a,"select",a.ab),a,"unselect",a.bb),a,"disable",a.Za),a,"hide",a.$a)},Ld=function(a){return"start"==a||"end"==a?"vertical":"horizontal"};Vc("goog-tab-bar",function(){return new V});function Od(a){var b={top:"bottom",bottom:"top",start:"right",end:"left"}[a.location],c=a.elementId,d=document.createElement("style");d.textContent="\n    fieldset {\n      padding: 10px;\n      border: 1px solid #369;\n    }\n\n    #"+c+" .goog-tab-content {\n      min-height: 3em;\n      margin: 0;\n      border: "+a.border+" solid "+a.borderColor+";\n      border-top: 0;\n      height: "+a.contentHeight+";\n      padding: 4px 8px;\n      margin-right: 4px;\n      background: var(--colab-primary-surface-color);\n      overflow: auto;\n    }\n\n    #"+
c+" .goog-tab-bar-"+a.location+" .goog-tab-selected {\n      background-color: var(--colab-primary-surface-color);\n      border: 1px solid "+a.borderColor+";\n      border-"+b+": 0px;\n    }\n\n    #"+c+" .goog-tab-bar-"+a.location+" {\n      padding-"+a.location+": 5px !important;\n      border-"+b+": 1px solid "+a.borderColor+" !important;\n      background: var(--colab-primary-surface-color);\n    }\n\n    #"+c+" .goog-tab-bar {\n       margin: 0;\n       border: 0;\n       padding: 0;\n       list-style: none;\n       cursor: default;\n       outline: none;\n       background: var(--colab-primary-surface-color);\n       margin-right: 4px;\n      }\n\n     #"+
c+" .goog-tab {\n       position: relative;\n       padding: 4px 8px;\n       color: var(--colab-primary-text-color);\n       text-decoration: initial;\n       cursor: default;\n      }\n\n      #"+c+" .goog-tab-hover {\n        background-color: var(--colab-highlighted-surface-color);\n      }\n      ";return d}
var Pd=function(a){var b=a.elementId,c=a.tabNames,d=a.selectedIndex;"contentBorder"in a||(a.contentBorder="0px");"contentHeight"in a||(a.contentHeight="initial");"borderColor"in a||(a.borderColor="var(--colab-border-color)");a.location||(a.location="top");var e=document.querySelector("#"+b),f=document.createElement("div");f.classList.add("goog-tab-bar");var g=a.location;f.classList.add("goog-tab-bar-"+g);for(var k=[],p=ba(c),w=p.next();!w.done;w=p.next()){w=w.value;var B=document.createElement("div");
B.classList.add("goog-tab");B.textContent=w;f.appendChild(B);k.push(B)}"bottom"!=g&&e.appendChild(f);p=null;if("top"==g||"bottom"==g)p=document.createElement("div"),p.classList.add("goog-tab-bar-clear");"top"==g&&p&&e.appendChild(p);B=document.createElement("div");B.classList.add("goog-tab-content");var ra=[];c=ba(c);for(w=c.next();!w.done;w=c.next())w=document.createElement("div"),w.id=e.id+"_content_"+ra.length,w.style.display="none",B.appendChild(w),ra.push(w);e.appendChild(B);"bottom"==g&&(p&&
e.appendChild(p),e.appendChild(f));var X=new V(g);Pc(X,f);var Y=-1;dc(X,"select",function(Z){Z=k.indexOf(Z.target.f());Z!=Y&&(0<=Y&&Y<ra.length&&(ra[Y].style.display="none",Y=-1),0<=Z&&Z<ra.length&&(Y=Z,ra[Y].style.display="inline",window.dispatchEvent(new Event("resize")),google.colab.output.resizeIframeToContent()),X.G(L(X,Y)))});X.G(L(X,d));window[b]={setSelectedTabIndex:function(Z){X.G(L(X,Z))}};document.head.appendChild(Od(a))},Qd=["colab_lib","createTabBar"],W=l;
Qd[0]in W||"undefined"==typeof W.execScript||W.execScript("var "+Qd[0]);for(var Rd;Qd.length&&(Rd=Qd.shift());)Qd.length||void 0===Pd?W[Rd]&&W[Rd]!==Object.prototype[Rd]?W=W[Rd]:W=W[Rd]={}:W[Rd]=Pd;}).call(this);
// clang-format on
",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 649
        }
      },
      "source": [
        "from google.colab import widgets\n",
        "from matplotlib import pylab\n",
        "\n",
        "graphs = list(sorted(set(Series['series_name'])))\n",
        "\n",
        "tabbar = widgets.TabBar(graphs)\n",
        "\n",
        "for g in graphs:\n",
        "  with tabbar.output_to(g):\n",
        "    pylab.figure(figsize=(25, 10))\n",
        "    pylab.grid(True)\n",
        "    for country in TopCountries['col0']:\n",
        "      df = Series[(Series['country'] == country) & (Series['series_name'] == g)]\n",
        "      pylab.plot(df['date'], df['value'], label=country)\n",
        "    pylab.legend(loc='best')\n",
        "    _ = pylab.xticks(rotation=90)\n",
        "\n"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id5\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a0c459c-0b31-11eb-afee-0242ac1c0002\"] = colab_lib.createTabBar({\"location\": \"top\", \"elementId\": \"id5\", \"tabNames\": [\"Active Cases\", \"Active Cases Per Capita\", \"Confirmed Cases\", \"Confirmed Cases Per Capita\"], \"initialSelection\": 0, \"contentBorder\": [\"0px\"], \"contentHeight\": [\"initial\"], \"borderColor\": [\"#a7a7a7\"]});\n",
              "//# sourceURL=js_056b1980f8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a0c8638-0b31-11eb-afee-0242ac1c0002\"] = window[\"id5\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_6b64c46c37"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
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            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a0ea594-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_5622f17a4a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
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        {
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          "data": {
            "application/javascript": [
              "window[\"2a0eefd6-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id5_content_0\");\n",
              "//# sourceURL=js_3f0b946f73"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
            "tags": [
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              "outputarea_id5"
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        },
        {
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          "data": {
            "application/javascript": [
              "window[\"2a0f36f8-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a0eefd6-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_f8b63573b6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
            "tags": [
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a0f8a2c-0b31-11eb-afee-0242ac1c0002\"] = window[\"id5\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_ec2c18e051"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_0",
              "outputarea_id5",
              "user_output"
            ],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a5681c0-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a0ea594-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_9c34cace83"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_0",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a5900a8-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_92f3b3af92"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_1",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a59ee82-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id5_content_1\");\n",
              "//# sourceURL=js_113a883bb3"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_1",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a5a2e9c-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a59ee82-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_0723e04d61"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_1",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2a5a64a2-0b31-11eb-afee-0242ac1c0002\"] = window[\"id5\"].setSelectedTabIndex(1);\n",
              "//# sourceURL=js_6c5bb5fda6"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_1",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_1",
              "outputarea_id5",
              "user_output"
            ],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aa93226-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2a5900a8-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_25fa0ffe9b"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_1",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aaa76a4-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_c0fe48b2d8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_2",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aaab132-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id5_content_2\");\n",
              "//# sourceURL=js_232ec17802"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_2",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aaae8be-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2aaab132-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_cb66b05657"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_2",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2aab1afa-0b31-11eb-afee-0242ac1c0002\"] = window[\"id5\"].setSelectedTabIndex(2);\n",
              "//# sourceURL=js_7033ec3217"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_2",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_2",
              "outputarea_id5",
              "user_output"
            ],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b024a5a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2aaa76a4-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7e79beb8fd"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_2",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b04c6ea-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_479df5691d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_3",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b051546-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id5_content_3\");\n",
              "//# sourceURL=js_e52240746a"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_3",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b05881e-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b051546-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8bfd68a6a5"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_3",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b05ca86-0b31-11eb-afee-0242ac1c0002\"] = window[\"id5\"].setSelectedTabIndex(3);\n",
              "//# sourceURL=js_ea0aec5733"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_3",
              "outputarea_id5"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_3",
              "outputarea_id5",
              "user_output"
            ],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b545f7a-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b04c6ea-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_083bece27f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id5_content_3",
              "outputarea_id5"
            ]
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-2osiuMnYof6"
      },
      "source": [
        "## Extracting potentially relevant indicators"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ct2caI61rc8U",
        "outputId": "adde01f5-b3fc-408a-e1d5-eab4d636b510",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/tabbar.css": {
              "data": "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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "text/css"
                ]
              ],
              "status": 200,
              "status_text": ""
            },
            "http://localhost:8080/nbextensions/google.colab/tabbar_main.min.js": {
              "data": "// clang-format off
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              "headers": [
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      },
      "source": [
        "%%logica CountryIndicators, CountryInfo\n",
        "\n",
        "#######################################################################\n",
        "# Assigning short names to required BigQuery public data tables.\n",
        "WdiIndicators(..r) :-\n",
        "  `bigquery-public-data.world_bank_wdi.indicators_data`(..r);\n",
        "\n",
        "HealthIndicators(..r) :-\n",
        "  `bigquery-public-data.world_bank_health_population.health_nutrition_population`(..r);\n",
        "\n",
        "CovidData(..r) :- `bigquery-public-data.covid19_jhu_csse.summary`(..r);\n",
        "\n",
        "##############################\n",
        "# Collecting the data.\n",
        "\n",
        "# Joining World Bank country indicator data.\n",
        "@With(CountryIndicators);\n",
        "CountryIndicators(\n",
        "    country:,\n",
        "    population:,\n",
        "    gdp_per_capita:,\n",
        "    overweight_fraction:,\n",
        "    life_expectancy:) :-\n",
        "  `bigquery-public-data.world_bank_global_population.population_by_country`(\n",
        "      country: country_raw,\n",
        "      year_2018: population\n",
        "  ),\n",
        "  WdiIndicators(year: 2018, value: gdp_per_capita, country_name: country_raw,\n",
        "                indicator_code: \"NY.GDP.PCAP.PP.CD\"),\n",
        "  HealthIndicators(year: 2016, value: overweight_fraction, country_name: country_raw,\n",
        "                   indicator_code: \"SH.STA.OWAD.ZS\"),   \n",
        "  HealthIndicators(year: 2016, value: life_expectancy, country_name: country_raw,\n",
        "                   indicator_code: \"SP.DYN.LE00.IN\"),   \n",
        "  # Map official country name to the name used in John Hopkins data.\n",
        "  country == (\n",
        "      if country_raw == \"United States\" then\n",
        "        \"US\"\n",
        "      else if country_raw == \"Iran, Islamic Rep.\" then\n",
        "        \"Iran\"\n",
        "      else if country_raw == \"Russian Federation\" then\n",
        "        \"Russia\"\n",
        "      else\n",
        "        country_raw\n",
        "  );\n",
        "\n",
        "# A function to retrieve World Bank indicators data for a country.\n",
        "# Returns null if the data is not there. We use it to avoid countries\n",
        "# disappearing from the final table if the name didn't match.\n",
        "IndicatorsOf(country) = indicators :-\n",
        "  indicators AnyValue= (r :- CountryIndicators(country:, ..r));\n",
        "\n",
        "# Extracting total confirmed COVID cases and deaths from John Hopkins data. \n",
        "@OrderBy(CountryCases, \"confirmed desc\");\n",
        "CountryCases(country: country_region,\n",
        "             confirmed? += confirmed,\n",
        "             deaths? += deaths) distinct :-\n",
        "  CovidData(country_region:, confirmed:, deaths:, date:),\n",
        "  date == DateAddDay(CurrentDate(), -4);\n",
        "\n",
        "# Joinig all the data together.\n",
        "CountryInfo(country:, \n",
        "            confirmed:,\n",
        "            confirmed_per_capita: confirmed / indicators.population,\n",
        "            deaths:,\n",
        "            deaths_per_capita: deaths / indicators.population,\n",
        "            deaths_per_confirmed: deaths / confirmed,\n",
        "            ..indicators) :-\n",
        "  indicators == IndicatorsOf(country),\n",
        "  CountryCases(country:, confirmed:, deaths:),\n",
        "  # Data for less than 1000 cases has especially high risk of being noisy.  \n",
        "  confirmed > 1000; \n",
        "\n"
      ],
      "execution_count": 5,
      "outputs": [
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          }
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        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id6\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
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          },
          "metadata": {
            "tags": [
              "outputarea_id6"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b7e26ca-0b31-11eb-afee-0242ac1c0002\"] = colab_lib.createTabBar({\"location\": \"top\", \"elementId\": \"id6\", \"tabNames\": [\"CountryIndicators\", \"CountryInfo\", \"(Log)\"], \"initialSelection\": 0, \"contentBorder\": [\"0px\"], \"contentHeight\": [\"initial\"], \"borderColor\": [\"#a7a7a7\"]});\n",
              "//# sourceURL=js_ff6c0a1bf4"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": [
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        },
        {
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          "data": {
            "application/javascript": [
              "window[\"2b7e7b16-0b31-11eb-afee-0242ac1c0002\"] = window[\"id6\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_32db81768f"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b7f9d98-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_54ec1f5883"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_2",
              "outputarea_id6"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b7fe00a-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id6_content_2\");\n",
              "//# sourceURL=js_765063ade1"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
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              "outputarea_id6"
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b8028d0-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b7fe00a-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_0249018930"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_2",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b8065a2-0b31-11eb-afee-0242ac1c0002\"] = window[\"id6\"].setSelectedTabIndex(2);\n",
              "//# sourceURL=js_d505033d39"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_2",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Running CountryIndicators\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b860016-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b7f9d98-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_59757be9e8"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_2",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b887788-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_920fd60367"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b88ac8a-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id6_content_0\");\n",
              "//# sourceURL=js_1ee8ecfa33"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b891ae4-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b88ac8a-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_96ddb61948"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b8a6a52-0b31-11eb-afee-0242ac1c0002\"] = window[\"id6\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_d321984379"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<link rel=stylesheet type=text/css href='/nbextensions/google.colab/tabbar.css'></link>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script src='/nbextensions/google.colab/tabbar_main.min.js'></script>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id=\"id7\"></div>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b8d4eca-0b31-11eb-afee-0242ac1c0002\"] = colab_lib.createTabBar({\"location\": \"top\", \"elementId\": \"id7\", \"tabNames\": [\"SQL\", \"Result\"], \"initialSelection\": 0, \"contentBorder\": [\"0px\"], \"contentHeight\": [\"initial\"], \"borderColor\": [\"#a7a7a7\"]});\n",
              "//# sourceURL=js_fac0904ddc"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b8dc53a-0b31-11eb-afee-0242ac1c0002\"] = window[\"id7\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_624d30c90d"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b905cd2-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_30754c6b56"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "id7_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b90b1c8-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id7_content_0\");\n",
              "//# sourceURL=js_a1443fa152"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
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              "id7_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b90f688-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b90b1c8-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_6516f66840"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": [
              "id6_content_0",
              "id7_content_0",
              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b913a30-0b31-11eb-afee-0242ac1c0002\"] = window[\"id7\"].setSelectedTabIndex(0);\n",
              "//# sourceURL=js_fc7a4ba0c3"
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              "<IPython.core.display.Javascript object>"
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          "metadata": {
            "tags": [
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              "outputarea_id6",
              "outputarea_id7",
              "user_output"
            ]
          }
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        {
          "output_type": "stream",
          "text": [
            "The following query is stored at \u001b[1mCountryIndicators_sql\u001b[0m variable.\n",
            "SELECT\n",
            "  CASE WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE bigquerypublicdata_world_bank_global_population_population_by_country.country END AS country,\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.year_2018 AS population,\n",
            "  bigquerypublicdata_world_bank_wdi_indicators_data.value AS gdp_per_capita,\n",
            "  bigquerypublicdata_world_bank_health_population_health_nutrition_population.value AS overweight_fraction,\n",
            "  t_1_bigquerypublicdata_world_bank_health_population_health_nutrition_population.value AS life_expectancy\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS bigquerypublicdata_world_bank_global_population_population_by_country, `bigquery-public-data.world_bank_wdi.indicators_data` AS bigquerypublicdata_world_bank_wdi_indicators_data, `bigquery-public-data.world_bank_health_population.health_nutrition_population` AS bigquerypublicdata_world_bank_health_population_health_nutrition_population, `bigquery-public-data.world_bank_health_population.health_nutrition_population` AS t_1_bigquerypublicdata_world_bank_health_population_health_nutrition_population\n",
            "WHERE\n",
            "  2018 = bigquerypublicdata_world_bank_wdi_indicators_data.year AND\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.country = bigquerypublicdata_world_bank_wdi_indicators_data.country_name AND\n",
            "  \"NY.GDP.PCAP.PP.CD\" = bigquerypublicdata_world_bank_wdi_indicators_data.indicator_code AND\n",
            "  2016 = bigquerypublicdata_world_bank_health_population_health_nutrition_population.year AND\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.country = bigquerypublicdata_world_bank_health_population_health_nutrition_population.country_name AND\n",
            "  \"SH.STA.OWAD.ZS\" = bigquerypublicdata_world_bank_health_population_health_nutrition_population.indicator_code AND\n",
            "  2016 = t_1_bigquerypublicdata_world_bank_health_population_health_nutrition_population.year AND\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.country = t_1_bigquerypublicdata_world_bank_health_population_health_nutrition_population.country_name AND\n",
            "  \"SP.DYN.LE00.IN\" = t_1_bigquerypublicdata_world_bank_health_population_health_nutrition_population.indicator_code;\n"
          ],
          "name": "stdout"
        },
        {
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            "application/javascript": [
              "window[\"2b926cc0-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b905cd2-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ccaf2639b4"
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            "text/plain": [
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              "outputarea_id6",
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          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "window[\"2b936d1e-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b887788-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8ed765c132"
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        {
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              "window[\"2b94aa4e-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_cc5ae407f4"
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        {
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            "application/javascript": [
              "window[\"2b94ebb2-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id6_content_2\");\n",
              "//# sourceURL=js_37df003940"
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            "application/javascript": [
              "window[\"2b952cf8-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b94ebb2-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_065317dbf9"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
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        },
        {
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            "application/javascript": [
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            "text/plain": [
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        {
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            "application/javascript": [
              "window[\"2def4a42-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2b94aa4e-0b31-11eb-afee-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d2c096cd58"
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        {
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          "data": {
            "application/javascript": [
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              "//# sourceURL=js_feff2c14ed"
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        {
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        {
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            "application/javascript": [
              "window[\"2df39020-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2df30286-0b31-11eb-afee-0242ac1c0002\"]);\n",
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        {
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          "data": {
            "application/javascript": [
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            "text/plain": [
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        {
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            "application/javascript": [
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              "//# sourceURL=js_6529cf854a"
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          "metadata": {
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              "id7_content_1",
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              "user_output"
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          }
        },
        {
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            "application/javascript": [
              "window[\"2df63294-0b31-11eb-afee-0242ac1c0002\"] = document.querySelector(\"#id7_content_1\");\n",
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          }
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        {
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            "application/javascript": [
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        {
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          "output_type": "stream",
          "text": [
            "The following table is stored at \u001b[1mCountryIndicators\u001b[0m variable.\n"
          ],
          "name": "stdout"
        },
        {
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          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>population</th>\n",
              "      <th>gdp_per_capita</th>\n",
              "      <th>overweight_fraction</th>\n",
              "      <th>life_expectancy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Namibia</td>\n",
              "      <td>2448255</td>\n",
              "      <td>10166.337273</td>\n",
              "      <td>40.600000</td>\n",
              "      <td>62.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Panama</td>\n",
              "      <td>4176873</td>\n",
              "      <td>31781.844286</td>\n",
              "      <td>58.800000</td>\n",
              "      <td>77.964000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Estonia</td>\n",
              "      <td>1320884</td>\n",
              "      <td>36358.027763</td>\n",
              "      <td>55.800000</td>\n",
              "      <td>77.641463</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Madagascar</td>\n",
              "      <td>26262368</td>\n",
              "      <td>1651.168811</td>\n",
              "      <td>23.900000</td>\n",
              "      <td>65.931000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Arab World</td>\n",
              "      <td>419790588</td>\n",
              "      <td>14972.430728</td>\n",
              "      <td>61.842887</td>\n",
              "      <td>71.436497</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>Bangladesh</td>\n",
              "      <td>161356039</td>\n",
              "      <td>4546.227418</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>71.785000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>208</th>\n",
              "      <td>El Salvador</td>\n",
              "      <td>6420744</td>\n",
              "      <td>8818.877207</td>\n",
              "      <td>59.900000</td>\n",
              "      <td>72.644000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>Philippines</td>\n",
              "      <td>106651922</td>\n",
              "      <td>8717.047981</td>\n",
              "      <td>27.600000</td>\n",
              "      <td>70.802000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>Egypt, Arab Rep.</td>\n",
              "      <td>98423595</td>\n",
              "      <td>11634.546851</td>\n",
              "      <td>63.500000</td>\n",
              "      <td>71.482000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>Dominican Republic</td>\n",
              "      <td>10627165</td>\n",
              "      <td>18129.708637</td>\n",
              "      <td>61.200000</td>\n",
              "      <td>73.471000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>212 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                country  population  ...  overweight_fraction  life_expectancy\n",
              "0               Namibia     2448255  ...            40.600000        62.625000\n",
              "1                Panama     4176873  ...            58.800000        77.964000\n",
              "2               Estonia     1320884  ...            55.800000        77.641463\n",
              "3            Madagascar    26262368  ...            23.900000        65.931000\n",
              "4            Arab World   419790588  ...            61.842887        71.436497\n",
              "..                  ...         ...  ...                  ...              ...\n",
              "207          Bangladesh   161356039  ...             1.000000        71.785000\n",
              "208         El Salvador     6420744  ...            59.900000        72.644000\n",
              "209         Philippines   106651922  ...            27.600000        70.802000\n",
              "210    Egypt, Arab Rep.    98423595  ...            63.500000        71.482000\n",
              "211  Dominican Republic    10627165  ...            61.200000        73.471000\n",
              "\n",
              "[212 rows x 5 columns]"
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          "text": [
            "Running CountryInfo\n"
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              "window[\"2e0b7b86-0b31-11eb-afee-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"2dfe78dc-0b31-11eb-afee-0242ac1c0002\"]);\n",
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          "text": [
            "The following query is stored at \u001b[1mCountryInfo_sql\u001b[0m variable.\n",
            "WITH t_0_CountryIndicators AS (SELECT\n",
            "  CASE WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"United States\" THEN \"US\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Iran, Islamic Rep.\" THEN \"Iran\" WHEN bigquerypublicdata_world_bank_global_population_population_by_country.country = \"Russian Federation\" THEN \"Russia\" ELSE bigquerypublicdata_world_bank_global_population_population_by_country.country END AS country,\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.year_2018 AS population,\n",
            "  bigquerypublicdata_world_bank_wdi_indicators_data.value AS gdp_per_capita,\n",
            "  bigquerypublicdata_world_bank_health_population_health_nutrition_population.value AS overweight_fraction,\n",
            "  t_2_bigquerypublicdata_world_bank_health_population_health_nutrition_population.value AS life_expectancy\n",
            "FROM\n",
            "  `bigquery-public-data.world_bank_global_population.population_by_country` AS bigquerypublicdata_world_bank_global_population_population_by_country, `bigquery-public-data.world_bank_wdi.indicators_data` AS bigquerypublicdata_world_bank_wdi_indicators_data, `bigquery-public-data.world_bank_health_population.health_nutrition_population` AS bigquerypublicdata_world_bank_health_population_health_nutrition_population, `bigquery-public-data.world_bank_health_population.health_nutrition_population` AS t_2_bigquerypublicdata_world_bank_health_population_health_nutrition_population\n",
            "WHERE\n",
            "  2018 = bigquerypublicdata_world_bank_wdi_indicators_data.year AND\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.country = bigquerypublicdata_world_bank_wdi_indicators_data.country_name AND\n",
            "  \"NY.GDP.PCAP.PP.CD\" = bigquerypublicdata_world_bank_wdi_indicators_data.indicator_code AND\n",
            "  2016 = bigquerypublicdata_world_bank_health_population_health_nutrition_population.year AND\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.country = bigquerypublicdata_world_bank_health_population_health_nutrition_population.country_name AND\n",
            "  \"SH.STA.OWAD.ZS\" = bigquerypublicdata_world_bank_health_population_health_nutrition_population.indicator_code AND\n",
            "  2016 = t_2_bigquerypublicdata_world_bank_health_population_health_nutrition_population.year AND\n",
            "  bigquerypublicdata_world_bank_global_population_population_by_country.country = t_2_bigquerypublicdata_world_bank_health_population_health_nutrition_population.country_name AND\n",
            "  \"SP.DYN.LE00.IN\" = t_2_bigquerypublicdata_world_bank_health_population_health_nutrition_population.indicator_code),\n",
            "t_12_CountryCases AS (SELECT\n",
            "  bigquerypublicdata_covid19_jhu_csse_summary.country_region AS country,\n",
            "  SUM(bigquerypublicdata_covid19_jhu_csse_summary.confirmed) AS confirmed,\n",
            "  SUM(bigquerypublicdata_covid19_jhu_csse_summary.deaths) AS deaths\n",
            "FROM\n",
            "  `bigquery-public-data.covid19_jhu_csse.summary` AS bigquerypublicdata_covid19_jhu_csse_summary\n",
            "WHERE\n",
            "  DATE_ADD(CURRENT_DATE(), INTERVAL -4 DAY) = bigquerypublicdata_covid19_jhu_csse_summary.date\n",
            "GROUP BY country ORDER BY confirmed desc)\n",
            "SELECT\n",
            "  CountryCases.country AS country,\n",
            "  CountryCases.confirmed AS confirmed,\n",
            "  ((CountryCases.confirmed) / ((SELECT\n",
            "  ANY_VALUE((SELECT AS STRUCT CountryIndicators.* EXCEPT (country))) AS logica_value\n",
            "FROM\n",
            "  t_0_CountryIndicators AS CountryIndicators\n",
            "WHERE\n",
            "  CountryIndicators.country = CountryCases.country).population)) AS confirmed_per_capita,\n",
            "  CountryCases.deaths AS deaths,\n",
            "  ((CountryCases.deaths) / ((SELECT\n",
            "  ANY_VALUE((SELECT AS STRUCT t_3_CountryIndicators.* EXCEPT (country))) AS logica_value\n",
            "FROM\n",
            "  t_0_CountryIndicators AS t_3_CountryIndicators\n",
            "WHERE\n",
            "  t_3_CountryIndicators.country = CountryCases.country).population)) AS deaths_per_capita,\n",
            "  ((CountryCases.deaths) / (CountryCases.confirmed)) AS deaths_per_confirmed,\n",
            "  (SELECT\n",
            "  ANY_VALUE((SELECT AS STRUCT t_11_CountryIndicators.* EXCEPT (country))) AS logica_value\n",
            "FROM\n",
            "  t_0_CountryIndicators AS t_11_CountryIndicators\n",
            "WHERE\n",
            "  t_11_CountryIndicators.country = CountryCases.country).*\n",
            "FROM\n",
            "  t_12_CountryCases AS CountryCases\n",
            "WHERE\n",
            "  (CountryCases.confirmed > 1000);\n"
          ],
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          "text": [
            "The following table is stored at \u001b[1mCountryInfo\u001b[0m variable.\n"
          ],
          "name": "stdout"
        },
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            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>confirmed</th>\n",
              "      <th>confirmed_per_capita</th>\n",
              "      <th>deaths</th>\n",
              "      <th>deaths_per_capita</th>\n",
              "      <th>deaths_per_confirmed</th>\n",
              "      <th>population</th>\n",
              "      <th>gdp_per_capita</th>\n",
              "      <th>overweight_fraction</th>\n",
              "      <th>life_expectancy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>US</td>\n",
              "      <td>7499341</td>\n",
              "      <td>0.022922</td>\n",
              "      <td>210886</td>\n",
              "      <td>0.000645</td>\n",
              "      <td>0.028121</td>\n",
              "      <td>327167434.0</td>\n",
              "      <td>62840.020239</td>\n",
              "      <td>67.9</td>\n",
              "      <td>78.539024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Chad</td>\n",
              "      <td>1238</td>\n",
              "      <td>0.000080</td>\n",
              "      <td>88</td>\n",
              "      <td>0.000006</td>\n",
              "      <td>0.071082</td>\n",
              "      <td>15477751.0</td>\n",
              "      <td>1613.514935</td>\n",
              "      <td>23.1</td>\n",
              "      <td>53.438000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cuba</td>\n",
              "      <td>5883</td>\n",
              "      <td>NaN</td>\n",
              "      <td>123</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.020908</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Iran</td>\n",
              "      <td>479825</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27419</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.057144</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Iraq</td>\n",
              "      <td>387121</td>\n",
              "      <td>0.010072</td>\n",
              "      <td>9531</td>\n",
              "      <td>0.000248</td>\n",
              "      <td>0.024620</td>\n",
              "      <td>38433600.0</td>\n",
              "      <td>10911.637908</td>\n",
              "      <td>64.6</td>\n",
              "      <td>70.122000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>Congo (Brazzaville)</td>\n",
              "      <td>5089</td>\n",
              "      <td>NaN</td>\n",
              "      <td>89</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.017489</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>Trinidad and Tobago</td>\n",
              "      <td>4846</td>\n",
              "      <td>0.003487</td>\n",
              "      <td>83</td>\n",
              "      <td>0.000060</td>\n",
              "      <td>0.017128</td>\n",
              "      <td>1389858.0</td>\n",
              "      <td>26892.868103</td>\n",
              "      <td>1.0</td>\n",
              "      <td>73.100000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>United Arab Emirates</td>\n",
              "      <td>100794</td>\n",
              "      <td>0.010466</td>\n",
              "      <td>435</td>\n",
              "      <td>0.000045</td>\n",
              "      <td>0.004316</td>\n",
              "      <td>9630959.0</td>\n",
              "      <td>68548.514718</td>\n",
              "      <td>67.8</td>\n",
              "      <td>77.470000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>Bosnia and Herzegovina</td>\n",
              "      <td>28710</td>\n",
              "      <td>0.008637</td>\n",
              "      <td>903</td>\n",
              "      <td>0.000272</td>\n",
              "      <td>0.031452</td>\n",
              "      <td>3323929.0</td>\n",
              "      <td>14932.373205</td>\n",
              "      <td>53.3</td>\n",
              "      <td>76.998000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>Central African Republic</td>\n",
              "      <td>4852</td>\n",
              "      <td>0.001040</td>\n",
              "      <td>62</td>\n",
              "      <td>0.000013</td>\n",
              "      <td>0.012778</td>\n",
              "      <td>4666377.0</td>\n",
              "      <td>955.128061</td>\n",
              "      <td>26.2</td>\n",
              "      <td>51.593000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>158 rows × 10 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      country  confirmed  ...  overweight_fraction  life_expectancy\n",
              "0                          US    7499341  ...                 67.9        78.539024\n",
              "1                        Chad       1238  ...                 23.1        53.438000\n",
              "2                        Cuba       5883  ...                  NaN              NaN\n",
              "3                        Iran     479825  ...                  NaN              NaN\n",
              "4                        Iraq     387121  ...                 64.6        70.122000\n",
              "..                        ...        ...  ...                  ...              ...\n",
              "153       Congo (Brazzaville)       5089  ...                  NaN              NaN\n",
              "154       Trinidad and Tobago       4846  ...                  1.0        73.100000\n",
              "155      United Arab Emirates     100794  ...                 67.8        77.470000\n",
              "156    Bosnia and Herzegovina      28710  ...                 53.3        76.998000\n",
              "157  Central African Republic       4852  ...                 26.2        51.593000\n",
              "\n",
              "[158 rows x 10 columns]"
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 631
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      "source": [
        "import pandas\n",
        "\n",
        "\n",
        "_ = pandas.plotting.scatter_matrix(\n",
        "    CountryInfo[['overweight_fraction', 'life_expectancy', 'gdp_per_capita',\n",
        "                 'confirmed_per_capita', 'deaths_per_capita',\n",
        "                 'deaths_per_confirmed']],\n",
        "    figsize=(10, 10))"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 720x720 with 36 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}